Knowledge Management System of Shenyang Institute of Automation, CAS
| PS2O: A Multi-Swarm Optimizer for Discrete Optimization | |
Chen HN(陈瀚宁); Zhu YL(朱云龙) ; Hu KY(胡琨元); Ku T(库涛)
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| Department | 先进制造技术研究室 |
| Conference Name | 7th World Congress on Intelligent Control and Automation |
| Conference Date | June 25-27, 2008 |
| Conference Place | Chongqing, China |
| Author of Source | Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn |
| Source Publication | 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 |
| Publisher | IEEE |
| Publication Place | NEW YORK |
| 2008 | |
| Pages | 587-592 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 20083911599457 |
| WOS ID | WOS:000259965700108 |
| Contribution Rank | 1 |
| ISBN | 978-1-4244-2113-8 |
| Keyword | Coevolution (Pso)-o-2 Pso Optimization |
| Abstract | In this paper, we implement an entire social system which consists of both heterogeneous cooperation and homogeneous cooperation aspects to formulate our simulation models of coevolution. We introduced a number of N species each possesses a number of M individuals into this coevolution model to represents the "biological community". Each individual of the community evolves based on the knowledge integration of itself, its species member and its symbiotic partners from other species. Since the community is made up of a swarm of agents who are species while each species is made up of a swarm of species members (individuals), our swarms within swarm model is instantiated as a hierarchical coevolutionary optimization algorithm, namely Particle Swarms Swarm Optimizer ((PSO)-O-2). The (PSO)-O-2 algorithm is evaluated on four discrete optimization problems for compared with the canonical discrete PSO algorithm. The comparisons show that on average, (PSO)-O-2 outperforms the PSO in terms of accuracy and convergence speed on all benchmark functions. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/8256 |
| Collection | 工业信息学研究室_先进制造技术研究室 |
| Corresponding Author | Chen HN(陈瀚宁) |
| Affiliation | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 2.School of Graduate, Chinese Academy of Sciences, Beijing, 100039, China |
| Recommended Citation GB/T 7714 | Chen HN,Zhu YL,Hu KY,et al. PS2O: A Multi-Swarm Optimizer for Discrete Optimization[C]//Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn. NEW YORK:IEEE,2008:587-592. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| HYQW000885.pdf（165KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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